#machine learning
Dec 2025
A Multivariate Bernoulli-Based Sampling Method for Multi-Label Data with Application to Meta-Research
A novel sampling algorithm is presented that uses observed label frequencies to estimate multivariate Bernoulli distribution parameters and calculates weights for each label combination, to preserve category frequency order, reduce frequency differences between most and least common categories, and account for category...
Simon Chung, Colby J. Vorland, D. L. Maney et al.
· arXiv.org · 2 citations